dcmp: Conway-Maxwell-Poisson Distribution

In HVoltBb/konez: K-aggregated transformation for modeling excess ones

Description

Density, distribution function and random generaton for the Conway-Maxwell-Poisson distribution with parameters logmu and lognu.

Usage

dcmp(x, lognu, logmu, maxiter = 50)

pcmp(q, lognu, logmu, maxiter = 50)

rcmp(logmu, lognu, maxiter = 50)

Arguments

x	vector of (non-negative integer) quantiles.
lognu	the shape parameter using Guikema and Goffelt's (2008) parametrization.
logmu	the mean using Guikema and Goffelt's (2008) parametrization.
maxiter	integer specifying number of term to keep in calculating the normalizing constant. Defaults to 50.
q	vector of quantiles.

Functions

• dcmp: Density function for the CMP distribution.

• pcmp: Distribution function for the CMP distribution.

• rcmp: Generates random numbers from the CMP distribution. This is a wrapper for the k-aggregated CMP random number generator.

References

[1] Guikema, S. D., & Goffelt, J. P. (2008). A flexible count data regression model for risk analysis. Risk Analysis: An International Journal, 28(1), 213-223.

HVoltBb/konez documentation built on Nov. 7, 2019, 1:30 a.m.